396 search results - page 29 / 80 » Scalability for Clustering Algorithms Revisited |
103
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ICDM
2009
IEEE
14 years 9 months ago
2009
IEEE
Clustering streaming data requires algorithms which are capable of updating clustering results for the incoming data. As data is constantly arriving, time for processing is limited...
108
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TNN
2008
14 years 11 months ago
2008
This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...
126
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KDD
2007
ACM
16 years 6 days ago
2007
ACM
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
125
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AI
2010
Springer
14 years 12 months ago
2010
Springer
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
ISCAPDCS
2003
15 years 1 months ago
2003
We consider efficient strategies for the parallel and distributed computation of large sets of multivariate integrals. These arise in many applications such as computational chem...